Modeling Biological Systems Using Crowdsourcing
Affiliation:
1. Institute of Computing Science, Poznan University of Technology, Poznan, Poland; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; European Center for Bioinformatics and Genomics, Poznan University of Technology, Poznan , Poland
Abstract
Abstract
Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.
Publisher
Walter de Gruyter GmbH
Reference74 articles.
1. [1] An G., Mi Q., Dutta-Moscato J., and Vodovotz Y. Agent-based models in translational systems biology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 1(2):159{171, 2009. 2. [2] Ansari S., Binder J., Boue S., Fabio A. D., Hayes W., Hoeng J., Iskandar A., Kleiman R., Norel R., O'neel B., Peitsch M. C., Poussin C., Pratt D., Rhrissorrakrai K., Schlage W. K., Stolovitzky G., and Talikka M. On crowd-verification of biological networks. Bioinformatics and Biology Insights, 7:BBI.S12932, 2013. 3. [3] Bae J. A., Mu S., Kim J. S., Turner N. L., Tartavull I., Kemnitz N., Jordan C. S., Norton A. D., Silversmith W. M., Prentki R., et al. Digital museum of retinal ganglion cells with dense anatomy and physiology. bioRxiv, page 182758, 2018. 4. [4] Barone J., Bayer C., Copley R., Barlow N., Burns M., Rao S., Seelig G., Popovic Z., Cooper S., and Players N. Nanocrafter: Design and evaluation of a dna nanotechnology game. In Proceedings of the 10th International Conference on the Foundations of Digital Games, pages 1{5, 2015. 5. [5] Barrett T., Wilhite S. E., Ledoux P., Evangelista C., Kim I. F., Tomashevsky M., Marshall K. A., Phillippy K. H., Sherman P. M., Holko M., et al. Ncbi geo: archive for functional genomics data sets|update. Nucleic acids research, 41(D1):D991{D995, 2012.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|